gam

R package gam: Generalized Additive Models. Functions for fitting and working with generalized additive models, as described in chapter 7 of ”Statistical Models in S” (Chambers and Hastie (eds), 1991), and ”Generalized Additive Models” (Hastie and Tibshirani, 1990)

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References in zbMATH (referenced in 26 articles )

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  1. Chatla, Suneel Babu; Shmueli, Galit: Efficient estimation of COM-Poisson regression and a generalized additive model (2018)
  2. Mark Donoghoe; Ian Marschner: logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model (2018)
  3. Adriano Zambom and Michael Akritas: NonpModelCheck: An R Package for Nonparametric Lack-of-Fit Testing and Variable Selection (2017)
  4. Conversano, Claudio; Dusseldorp, Elise: Modeling threshold interaction effects through the logistic classification trunk (2017)
  5. Johan Steen and Tom Loeys and Beatrijs Moerkerke and Stijn Vansteelandt: medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models (2017)
  6. Samuel Lendle; Joshua Schwab; Maya Petersen; Mark van der Laan: ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data (2017)
  7. Janon, Alexandre; Nodet, Maëlle; Prieur, Christophe; Prieur, Clémentine: Global sensitivity analysis for the boundary control of an open channel (2016)
  8. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  9. Delphine Dupuy; Céline Helbert; Jessica Franco: DiceDesign and DiceEval: Two R Packages for Design and Analysis of Computer Experiments (2015)
  10. Khandoker Bakar; Sujit Sahu: spTimer: Spatio-Temporal Bayesian Modeling Using R (2015)
  11. Brenton Kenkel; Curtis Signorino: Estimating Extensive Form Games in R (2014)
  12. Schnitzer, Mireille E.; der laan, Mark J.; Moodie, Erica E. M.; Platt, Robert W.: Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data (2014)
  13. Hill, Jennifer; Su, Yu-Sung: Assessing lack of common support in causal inference using Bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children’s cognitive outcomes (2013)
  14. Schlittgen, Rainer: Regression analyses with R (2013)
  15. Cano, Emilio L.; Moguerza, Javier M.; Redchuk, Andrés: Six Sigma with R. Statistical engineering for process improvement. (2012)
  16. Chambaz, Antoine; Neuvial, Pierre; van der Laan, Mark J.: Estimation of a non-parametric variable importance measure of a continuous exposure (2012)
  17. Durrande, Nicolas; Ginsbourger, David; Roustant, Olivier: Additive covariance kernels for high-dimensional Gaussian process modeling (2012)
  18. Matteson, David S.; McLean, Mathew W.; Woodard, Dawn B.; Henderson, Shane G.: Forecasting emergency medical service call arrival rates (2011)
  19. Young, Robin L.; Weinberg, Janice; Vieira, Verónica; Ozonoff, Al; Webster, Thomas F.: Generalized additive models and inflated type I error rates of smoother significance tests (2011)
  20. De Bock, Koen W.; Coussement, Kristof; Van den Poel, Dirk: Ensemble classification based on generalized additive models (2010)

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